Module 2.2.1 · Phase 2 Decision · Step 2.2 Populations & IntersectionsCore
Affected Populations & Intersection Definition
Which groups and intersections must be tested?
Defines who the system affects and which groups and intersections must be tested.
What it does
You set the population scope, register protected attributes, rank intersections as must, should or optional with a sample-size check, and list likely proxies. Measured subgroup disparities on your dataset support the scope, which ends in a recorded approval.
Why it matters
This step formally defines which populations and intersectional groups are entitled to fairness guarantees and which are excluded, with documented rationale. It makes intersectionality an explicit, auditable decision rather than an implicit byproduct of data availability or metric choice.
Where it sits
- Fairness Definition
- Populations & Intersections
- Bias Identification & Prioritization
- Metrics & Thresholds
- Affected Populations & Intersection Definition
How to use it
In the Fairness Navigator Beta
Work through the steps in order. Several modules open from the Navigator's steps and hand their results back.
On its own Live
Open 2.2.1 from the platform's Modules page and run it when your project needs it. Work is saved with the assessment.
After a Pulse reading Live
Start with a fast first read, then go deeper with the modules where it points.